Applied Nate Silver – does blog readership follow a power law?

I have enough data in my stats to take a stab at this question. Just looking at the stats some of my posts have been read a lot more than others and so just scanning the data it looks roughly like a power law, which Nate discusses a lot in his book. Here’s a shot at the raw data (#posts vs #reads/post):

clicksLinears

Doesn’t look like much with linear axis, but as usual to see any pattern we need to look at a log-log plot:

clicksLog

Now at least the middle of the range looks fairly linear and thus matching a power law.

But, this really doesn’t address “rare” events (all the points show on the y-axis). There simply isn’t enough data to sense of these. And I can’t think of much (other than grouping observations in intervals, none of which is working very well), so I still don’t have anywhere near enough data for any analysis here.

Maybe in a year, but I also don’t think it’s going to work out then either, so we’ll see – yet another prediction to test in the future.

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About dmill96

old fat (but now getting trim and fit) guy, who used to create software in Silicon Valley (almost before it was called that), who used to go backpacking and bicycling and cross-country skiing and now geodashes, drives AWD in Wyoming, takes pictures, and writes long blog posts and does xizquvjyk.
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One Response to Applied Nate Silver – does blog readership follow a power law?

  1. Pingback: Looking at the Data: First Two Days of #moocmooc « Liberation Math

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